A mobile edge computing/software-defined networking-enabled architecture for vehicular networks

This paper presents a system architecture to address the traffic density and the network coverage open research challenges in vehicular networks. This architecture adopts mobile edge computing (MEC) and software-defined networking (SDN) technologies to increase the overall network reliability and scalability under high traffic density conditions. Then, a device-to-device (D2D) clustering method is described to provide network coverage for orphan nodes. The proposed architecture offers a reliable structure to support ultra-low latency applications. Evaluation results using realistic conditions for various network scenarios show that the proposed MEC/SDN-enabled vehicular network architecture achieves performance gains of up to 74% in terms of task blocking compared to its baseline implementation.

Authors
Muthanna A. 1, 2 , Shamilova R.3 , Ateya A.A. 1, 4 , Paramonov A. 1 , Hammoudeh M.5
Number of issue
6
Language
English
Status
Published
Number
e109
Volume
3
Year
2020
Organizations
  • 1 St Petersburg State Univ Telecommun, Telecommun Networks & Data Transmiss Dept, 22-1 Prospekt Bolshevikov, St Petersburg 193232, Russia
  • 2 Peoples Friendship Univ Russia RUDN Univ, Appl Probabil & Informat Dept, Moscow, Russia
  • 3 ITMO Univ, Dept Software Engn & Comp Technol, St Petersburg, Russia
  • 4 Zagazig Univ, Elect & Commun Engn, Sharqia, Egypt
  • 5 Manchester Metropolitan Univ, Dept Comp & Math, Manchester, Lancs, England
Keywords
clustering; coverage; D2D; MEC; SDN; traffic; vehicular networks
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